A novel filtering approach for estimation of biological signals using wavelets

摘要

Methods based on shrinkage of wavelet coefficients are widely used for estimation of biological signals from noisy environment. The popular hard and soft thresholding filters are commonly used in these methods. In this paper shrinkage method based on a new thresholding filter for denoising of biological signals is proposed. The efficacy of this filter is evaluated by applying this filter for denoising of ECG signal. The performance of this filter is compared with that of hard and soft thresholding filters using Mean Square Error (MSE) and Signal to Noise Ratio (SNR). Experiments revealed that the new thresholding filter is significantly more efficient than hard and soft filters in denoising the signals. It embodies the features of both hard and soft filters. Different qualities of denoising are obtained by varying the parameters of this filter.